Udemy - Non-technical Introduction to Large Language Models

Files:

• Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here ! 1. Introduction
• 1. Introduction.mp4 (4.9 MB)
2. What is a Large Language Model
• 1. Defining Large Language Models.mp4 (10.7 MB)
• 2. A Large Language Model in a Diagram.mp4 (83.3 MB)
• 3. How Large Language Models work.mp4 (51.5 MB)
3. Important Terminologies
• 1. Context Length.mp4 (37.8 MB)
• 2. Dataset.mp4 (85.8 MB)
• 3. Fine-tuning.mp4 (27.0 MB)
• 4. Hallucinations.mp4 (23.6 MB)
• 5. LoRA and QLoRA.mp4 (29.2 MB)
• 6. Quantization.mp4 (44.1 MB)
• 7. Foundation Model.mp4 (16.1 MB)
4. How LLMs are trained
• 1. How Large Language Models are Trained.mp4 (9.9 MB)
• 2. Alpaca Model with Synthetic Data.mp4 (17.9 MB)
5. What are some examples of Large Language Models
• 1. Primary types of Large Language Models.mp4 (14.8 MB)
• 2. Proprietary vs Open Source.mp4 (125.7 MB)
6. Different use cases of LLMs
• 1. Creating Documentation.mp4 (40.7 MB)
• 2. Coding.mp4 (33.2 MB)
• 3. Coding - More advanced.mp4 (47.8 MB)
• 4. Writing a story.mp4 (52.2 MB)
7. Finetuning an LLM using custom dataset
• 1. Offline applications you can use.mp4 (70.2 MB)
• 2. Fine-tuning a Large Language Model Part 1.mp4 (80.2 MB)
• 3. Fine-tuning a Large Language Model Part 2.mp4 (282.5 MB)
8. End note
• 1. What's next.mp4 (46.9 MB)
• Bonus Resources.txt (0.4 KB)